Latest / Becker’s Healthcare Podcast / Building the AI Infrastructure for Medication Access with Sahir Jaggi
Transcript
- 0:02- Every health system executive right now is being
- 0:04- asked to do something that has no useful
- 0:06- precedent,
- 0:07- make durable technology decisions in an environment that
- 0:10- looks meaningfully different every six months.
- 0:13- The pace isn't slowing,
- 0:14- the vendor landscape isn't getting simpler, and the
- 0:17- cost of missteps
- 0:18- keeps rising.
- 0:19- Becker's eleventh annual IT and Revenue Cycle Conference,
- 0:23- The Future of AI and Digital Health, exists
- 0:25- for exactly this challenge.
- 0:27- Here, you'll find more than 2,500 executive level
- 0:30- attendees,
- 0:31- 600 plus speakers, and four days of sessions
- 0:34- built around the questions leaders are actually wrestling
- 0:36- with.
- 0:37- How to scale AI responsibly,
- 0:39- how to protect increasingly complex systems,
- 0:42- how to wring more performance out of the
- 0:44- revenue cycle, and how to make tech investments
- 0:46- that hold up over time.
- 0:48- Join us September fourteenth through the seventeenth at
- 0:51- the Hilton Chicago.
- 0:53- You can register on our events page at
- 0:55- beckershospitalreview.com
- 0:57- by clicking on the events tab in the
- 0:59- upper right.
- 1:00- This is Scott Becker with the Becker's Health
- 1:03- Care podcast.
- 1:04- I'm thrilled to be joined by a brilliant
- 1:07- and incredible entrepreneur.
- 1:09- We're joined today by Sahir
- 1:11- Jaggi. Sahir
- 1:12- is the founder of a company called Flores,
- 1:15- recently went through a rebrand. And he'll tell
- 1:17- us about Flores and and what you're doing
- 1:20- and how you've grown so much. I've been
- 1:22- introduced by Sahir by somebody who's brilliant, had
- 1:25- a chance to visit with him, and and
- 1:27- one of the smartest
- 1:29- young entrepreneurs that I know, although maybe not
- 1:31- that young, but look so young. Sahir, tell
- 1:33- us a bit about the founding of Phorus
- 1:35- and and what you're doing, and tell us
- 1:37- a bit about you and your background too.
- 1:40- Yeah. Thanks so much for having me, Scott.
- 1:42- I really appreciate it, and and and really
- 1:43- excited to be here. So like you mentioned,
- 1:46- I started a company a few years ago
- 1:48- called Phorus.
- 1:49- Forus is a platform for automating access to
- 1:51- medication.
- 1:52- You know, we're building the layer that accelerates
- 1:54- medicine for people who need it, who prescribe
- 1:56- it, who create it. We started this company
- 1:58- about three years ago and have spent that
- 2:00- whole time kinda supporting providers and patients across
- 2:03- the country,
- 2:04- helping people get access to medicine faster, easier,
- 2:06- and cheaper by automating all the complexity that
- 2:09- normally falls in their shoulders. Right? If you
- 2:11- think about the problem that we've set out
- 2:12- to solve, when a doctor prescribes a medication
- 2:15- today, there's often a long manual process before
- 2:18- the patient can actually get it. The prioritization,
- 2:20- the documentation the plan wants, the appeal when
- 2:23- it's denied, and figuring out how the patient
- 2:24- affords it. And the AMA found that,
- 2:28- most recently, physicians and their staff are spending,
- 2:30- you know, thirteen, fourteen hours a week on
- 2:32- prior authorizations,
- 2:34- seeing, you know, nearly 40 of those authorizations
- 2:36- per provider per week,
- 2:39- in their clinics, and nearly four in five
- 2:41- providers say patients end up abandoning treatment because
- 2:44- of that process.
- 2:45- And it falls hardest on people with the
- 2:47- most serious expensive conditions. So think autoimmune diseases,
- 2:50- metabolic disorders, cancers, where the drugs are expensive
- 2:53- and and unaffordable without insurance coverage or financial
- 2:56- assistance and complicated supply chains.
- 2:58- And so our platform
- 3:00- is the automation layer for all of that.
- 3:02- Our AI facilitates every step in the process
- 3:05- from identifying what insurance coverage and benefits a
- 3:07- patient has,
- 3:08- through generating the prior authorizations and appeals, coordinating
- 3:11- the back and forth with health plans and
- 3:13- PBMs and pharmacies,
- 3:14- and even working through the different affordability and
- 3:16- financial assistance options for patients.
- 3:19- That work
- 3:20- used to keep someone in the office on
- 3:21- the phone all day and now can be
- 3:23- handled automatically.
- 3:25- So this is really what we we built,
- 3:26- and and what's what's best here is that
- 3:28- we've been able to build it in a
- 3:29- way that's free for providers and patients. I
- 3:31- think what you're seeing in the market today
- 3:33- is a lot of the best tools providers
- 3:34- rely on tend to be free for them,
- 3:36- and I don't think that's a coincidence. And
- 3:37- providers are stretched way too thin to be
- 3:40- paying for the infrastructure
- 3:41- that they depend on and the cost these
- 3:43- broad leased platforms,
- 3:44- I think, increasingly belongs with larger players in
- 3:46- the system that have a margin to carry
- 3:48- it. Think, you know, payers, life science companies,
- 3:50- even the government, rather than the people at
- 3:52- the front line. And so,
- 3:54- we've been working on this for a few
- 3:55- years now, and as you mentioned, just did
- 3:56- a big public launch as a result of
- 3:58- our funding.
- 3:59- Well, congratulations.
- 4:01- And talk about your background because brilliant person
- 4:04- in Columbia University
- 4:06- spent years developing strategy at Oscar Health.
- 4:10- How did you end up
- 4:11- transitioning to this area and deciding to lead
- 4:14- and found this?
- 4:16- Yeah. So as you mentioned, I joined Oscar
- 4:19- Health back in 2017,
- 4:21- right, when the company is trying to scale
- 4:22- up really significantly,
- 4:24- and that gave me a front row seat
- 4:25- to the full,
- 4:27- spectrum of problems in the health care system.
- 4:29- Right? Working at Oscar, I was working most
- 4:31- prominently on our actual patient and consumer experience
- 4:35- and spending a lot of time thinking about
- 4:36- what are the different ways in which we
- 4:37- can make people's lives easier in such a
- 4:40- complicated system.
- 4:42- I got a ton of exposure there to
- 4:43- problems across everything from how challenging it is
- 4:46- to pick and buy your insurance plan, through
- 4:48- how hard it is to understand what your
- 4:50- benefits are, through figuring out, you know, what
- 4:52- happens when someone prescribes you a medication or
- 4:55- orders you a test,
- 4:56- how do you know where you can go,
- 4:58- what's in network,
- 4:59- and and even kind of figuring out, you
- 5:01- know, what people need to do when they
- 5:05- have an emergency. You know, there's there's a
- 5:06- wide variety of problems. And I think what
- 5:08- I learned at Oscar
- 5:09- was being a single player in the ecosystem,
- 5:13- you can solve
- 5:14- some of the problems for some of the
- 5:15- people some of the time, but it's really
- 5:17- challenging to provide a solution
- 5:19- that is universal
- 5:21- or or or durable for any for any
- 5:23- individual,
- 5:24- provider or patient. Just because, you know, throughout
- 5:26- their life, they're gonna go through a variety
- 5:28- of different insurance plans, a variety of different
- 5:30- providers, a variety of different treatments.
- 5:33- And
- 5:34- what happened while I was there was we
- 5:36- started to see this advent of new technology
- 5:39- and and AI and large language models, which
- 5:41- obviously, you know, you and many of listeners
- 5:42- I'm sure are quite familiar with. And luckily
- 5:45- for me, a number of the main investors
- 5:47- at Oscar were also deeply involved
- 5:50- in the companies behind this technology,
- 5:52- and that started getting my brain clicking,
- 5:55- as to air is there an opportunity to
- 5:56- build something that can work for everyone all
- 5:59- the time as opposed to only working for
- 6:01- a slice of folks some of the time.
- 6:03- And that technology, I think, opened the door
- 6:05- where these AI models are really good at
- 6:08- a couple of things that I think provide
- 6:09- the capability
- 6:10- to do more. One is they can digest
- 6:13- a tremendous amount of different, you know, heterogeneous
- 6:16- information
- 6:16- and treat it all the same. And two,
- 6:18- they can kind of brute force through really
- 6:21- hard processes that are hard to scale with
- 6:22- people. And so that kind of gives you
- 6:24- an opportunity to build what I think of
- 6:25- as an abstraction or advocate layer,
- 6:27- on top of the system, helping people navigate
- 6:30- it without having to understand all the complexity
- 6:31- underneath. And so,
- 6:33- after spending five, six years at Oscar really
- 6:35- learning the ropes of both the health care
- 6:37- system, but also how to build a fast
- 6:39- growing company, I made the leap to start
- 6:41- this company, working with a lot of the
- 6:42- same investors, a lot of the same team
- 6:44- focused on this problem.
- 6:46- Really remarkable. So you've been at it for
- 6:48- about three years now. And give us a
- 6:50- bit of a sense of how it's going.
- 6:53- Who do you who does your who do
- 6:55- you reach out to? Who's your ideal
- 6:57- customer?
- 6:58- Who do you folks work with?
- 7:00- And and how do you sort of get
- 7:02- into the market and distribution?
- 7:05- Yeah. So, I mean, what I'm really excited
- 7:08- about is that we have been able to
- 7:09- grow with the providers and the patients for
- 7:12- the last few years almost entirely through word-of-mouth.
- 7:15- For the last couple years, we have 10
- 7:17- x year over year for for two years
- 7:19- running, and now we're used
- 7:21- by thousands of medical practices and health systems
- 7:23- across all 50 states,
- 7:26- from SAW solo private practices all the way
- 7:28- up through academic health systems.
- 7:31- And we serve patients now in about 80%
- 7:33- of residential ZIP codes in The US.
- 7:35- And and really what that's looked like is,
- 7:37- you know, we're providing this product, which I
- 7:39- think is solving a really
- 7:41- key issue
- 7:42- for physicians and patients, helping them get their
- 7:45- medicine, a problem that's not only complicated, but
- 7:47- also a recurring problem for all these folks
- 7:49- on a regular basis. If, you know, if
- 7:50- you're prescribed a medication, you're usually taking that
- 7:52- medication every day, every week, every month for
- 7:55- the rest of your life, with your chronic
- 7:56- condition. And and at the same time, a
- 7:58- lot of providers and specialists, and a huge
- 8:00- portion
- 8:01- of what they do today is focused on
- 8:04- medications and prescriptions and infusions and making sure
- 8:06- people can get the treatments that are gonna
- 8:08- be most effective for their conditions.
- 8:10- And so we started very early on kind
- 8:12- of working with physicians and and providers who
- 8:15- were family friends or friends of friends or
- 8:17- people we knew kind of through our network,
- 8:19- and that kind of helped us get the
- 8:21- ball rolling. And then very quickly, we started
- 8:23- to see the kind of the word started
- 8:25- spreading and through dinners, through friends, through people
- 8:28- switching jobs, through Facebook groups, the world started
- 8:30- to grow and we started to kinda see
- 8:32- a exponential growth in our kind of,
- 8:36- inbound from physician groups and and health systems,
- 8:39- interested in finding ways to solve these problems
- 8:41- where they and their staff just don't have
- 8:43- the capacity
- 8:44- to to address it themselves, and they're they're
- 8:46- hungry for AI solutions that can solve the
- 8:49- problem.
- 8:50- And and take a moment on
- 8:52- as we move to the second part of
- 8:54- two thousand twenty six, what are you most
- 8:56- focused on and excited about the rest of
- 8:58- this year?
- 9:00- Yeah. Well, so what I'm most excited about
- 9:02- is how much more AI can take on
- 9:05- now than it could even a year ago.
- 9:07- We're moving past the level of AI that
- 9:09- just helps you do a task faster to
- 9:11- AI that really owns the entire workflow end
- 9:13- to end. I think the difference between a
- 9:16- team feeling a little bit less buried and
- 9:18- a team not having to think about a
- 9:19- problem at all because it's really kind of,
- 9:21- you know, offloaded from their shoulders is so
- 9:23- tremendous in terms of the impact it can
- 9:25- have, not just for them directly, but for
- 9:27- the patients they serve because they can put
- 9:29- their
- 9:30- full,
- 9:31- mind towards the problems that they really needed.
- 9:34- And because the models keep getting better, the
- 9:36- set of things that you can, you know,
- 9:38- continually automate basically gets bigger and better almost
- 9:41- every month these days.
- 9:43- That part has really kinda kept me up
- 9:44- in a good way. What we're focused on
- 9:46- now is turning that depth,
- 9:49- into,
- 9:51- you know, more and more impactful settings we
- 9:53- serve most.
- 9:54- For example, at the health system level, we're
- 9:56- we're moving beyond kind of the core problems
- 9:58- of helping automate all the authorization and and
- 10:01- and access process and routing within the system
- 10:04- to things that are more bespoke and specific
- 10:06- that require additional levels of complexity. So think,
- 10:08- you know, carrying a patient's therapy
- 10:11- across the inpatient to outpatient transition so someone
- 10:14- discharging a new medication doesn't fall through on
- 10:16- access or cost.
- 10:18- For example, in in in specialties like oncology,
- 10:21- it's ensuring that you're getting all the paperwork,
- 10:23- the authorization, the financial assistance handled at the
- 10:26- right time before treatment, navigating the scheduling so
- 10:29- that, you know, a patient isn't in the
- 10:31- chair waiting on paperwork. And you're really kind
- 10:33- of thinking about the through line
- 10:35- of how can you take a platform that
- 10:37- has a ton of automation capability with AI
- 10:39- already and molding it to each individual setting,
- 10:42- continually making it more impactful for each type
- 10:44- of,
- 10:45- provider or partner you serve. I think that's
- 10:48- a really exciting thing that is possible because
- 10:51- of how much more capable these agentic systems
- 10:53- are today.
- 10:55- I mean, really fascinating. You've done this incredible
- 10:57- job
- 10:58- from being at Oscar Health to founding this
- 11:01- company and really understanding sort of the the
- 11:03- levels of scale.
- 11:06- Any advice that you would give to emerging
- 11:09- founders, emerging entrepreneurs that you've learned from your
- 11:12- lesson so far?
- 11:14- Yeah. I mean, I think now is probably
- 11:16- the most exciting time to be building a
- 11:18- company and be supporting people who are looking
- 11:21- for ways to have AI transform
- 11:23- their organizations, their work, their lives. And so
- 11:26- my my advice is really around, I think,
- 11:28- two things.
- 11:29- One is to be really ambitious
- 11:32- about what you're asking from your your product.
- 11:34- I think, you know, there's often a
- 11:37- instinct to kind of be conservative in your
- 11:40- approach and start small and pick something off
- 11:42- that you can kind of solve for folks
- 11:44- and kind of grow from there. And I
- 11:45- think that's right. But also you wanna kinda
- 11:47- make sure that the long term of what
- 11:48- you're you're you're working towards and what you're
- 11:50- able to share with your partners
- 11:52- is something that can, you know, take entire
- 11:55- categories
- 11:56- of work and manual process
- 11:58- off of your customer's plate, not just help
- 12:00- them do something faster. Right? Really aiming higher
- 12:02- than just efficiency
- 12:04- to, you know, transforming
- 12:06- how people are operating. So that's what's gonna
- 12:08- be most,
- 12:09- impactful and and also most durable as kind
- 12:11- of, you know, technology continues to advance. And
- 12:14- then choose partners
- 12:16- who want you to work with them to
- 12:17- adapt their settings and help you develop your
- 12:19- product. Right? Your your the product you build
- 12:22- is
- 12:23- kinda culmination of both your internal efforts, but
- 12:26- also
- 12:27- how your early partners and customers help you
- 12:30- define what you're building.
- 12:31- And I think a lot of the best
- 12:33- technology today is molding to the specific workflows
- 12:37- of customers as opposed to just forcing a
- 12:39- template into every setting.
- 12:42- And the more,
- 12:43- partnership you have from your early clients and
- 12:46- customers to help you learn those lessons and
- 12:48- build that flexibility into your product, the more
- 12:51- quick you'll be able to grow beyond that.
- 12:54- And talk about I love what you said
- 12:55- about thinking big and ambitiously
- 12:59- because so many of us get stuck in
- 13:01- incrementalist
- 13:02- sort of approaches.
- 13:04- And the challenge with that is
- 13:06- that so many people can compete with the
- 13:09- incrementalist approach, and it's hard to build something
- 13:11- significant
- 13:12- that people really need if you think small.
- 13:15- But many of us are stuck in that
- 13:17- in that rut or that that view of
- 13:19- the world. Talk about sort of training yourself
- 13:21- to think big. Is that part of your
- 13:23- Oscar Health background? Is it come comes naturally
- 13:26- to you? How'd you come across
- 13:28- that kind of thinking
- 13:30- versus where many of us get bogged down
- 13:33- in sort of such incremental thinking?
- 13:36- Yeah.
- 13:37- I think, you know, I have to give
- 13:39- credit to a couple places for sure. Oscar
- 13:41- is a great place to give credit to
- 13:43- because, you know, the the original idea was
- 13:45- so broad. It was, you know, rather than
- 13:46- let's just build a specific,
- 13:50- workflow
- 13:51- or a specific tool, why don't we rethink
- 13:54- what an insurance company looks like and build
- 13:57- it from the ground up? You know, there's
- 13:58- a lot of complexity in that,
- 14:01- but it was a great
- 14:02- education for me in how big you can
- 14:05- think and how little you need to be
- 14:07- tied to
- 14:08- what seem like, you know, hard rules. Because
- 14:11- in reality, when you think about stuff from
- 14:12- first principles, there's a lot more ways to
- 14:14- solve every problem than are obvious.
- 14:17- I think at the same time, it was
- 14:19- a great lesson for, you know, where you
- 14:21- do need to be appreciative and and respectful
- 14:24- of, like, the systems that exist today and
- 14:26- how different organizations operate. And so the thing
- 14:29- that's helped me kind of now become a
- 14:31- little bit more practical while being ambitious
- 14:34- is grounding it in the problems of specific,
- 14:39- partners. So thinking about, you know, we want
- 14:41- to advance the practice of medicine and make
- 14:44- it so that, you know, every patient gets
- 14:47- the medicine that is best and most appropriate
- 14:49- for them, and science is the only limit
- 14:51- to the treatment that they're getting.
- 14:53- That's our broad ambitious goal.
- 14:55- Now in order to actualize that, we then
- 14:58- rather than focusing on it in a, you
- 15:00- know, aggregate nonspecific way, think about specific partners,
- 15:04- specific practices, specific systems that we we we
- 15:07- work with
- 15:08- and
- 15:10- work to at the same time as kind
- 15:12- of being big picture, understanding all the nitty
- 15:14- gritty of how they operate to think through,
- 15:16- okay, what's
- 15:17- a plausible road map for us to get
- 15:19- from where we are to that big picture,
- 15:21- still working with them and our internal team
- 15:24- to have that shared vision of the long
- 15:26- term, but then having a pragmatic view along
- 15:29- the way. And I think, a lot of
- 15:31- that also comes from us having a bit
- 15:33- more of a,
- 15:36- ethos and thesis around what we think the
- 15:38- world should look like. I think one of
- 15:40- the great things that I've benefited from
- 15:42- in spending my time at Oscar and working
- 15:45- within
- 15:45- the different complexities of the the system
- 15:48- was
- 15:49- sort of becoming radicalized
- 15:51- on how much challenge there is for patients
- 15:53- and providers today
- 15:55- and feeling like it would be a disservice
- 15:59- to ourselves, our customers, the industry for us
- 16:01- to shoot for anything less than what we
- 16:03- thought was right for patients.
- 16:05- Yeah. I I I think it's a great
- 16:07- sort of mix of perspectives of thinking very
- 16:09- big, but then also getting you to the
- 16:11- weeds and thinking practically
- 16:13- about how you make a difference in very
- 16:15- specific areas
- 16:17- where you're with people you work with need
- 16:19- that. I think it's it's it's really a
- 16:20- a sense of brilliance.
- 16:22- Sahir, I I wanna thank you for joining
- 16:24- us today on the Becker's Healthcare podcast.
- 16:27- Look forward to speaking to you a lot
- 16:28- more and watching the growth in what you're
- 16:30- doing it for us. Absolutely brilliant entrepreneur.
- 16:34- Thank you so much for joining us. Brilliant
- 16:36- person and entrepreneur. Thank you so much for
- 16:38- joining us today on the Becker's Healthcare podcast.
- 16:40- We really appreciate it. Thank you.
- 16:42- Thanks, Scott. Really appreciate you having me on
- 16:44- and excited to spend more time together.